The electroencephalography (EEG) signal is a noninvasive and complex signal that has
numerous applications in biomedical fields, including sleep and the brain–computer …

Epilepsy is the neurological disorder of the brain which is difficult to diagnose visually using
Electroencephalogram (EEG) signals. Hence, an automated detection of epilepsy using …

IN BRIEF Far from a simple absence of wakefulness, sleep is an active, regulated, and
metabolically distinct state, essential for health and well-being. In this article, the authors …

Metaphors, generalizations and unifications are natural and desirable ingredients of the
evolution of scientific theories and concepts. Physics, in particular, obviously walks along …

Epilepsy is a neurological disorder characterized by the presence of recurring seizures. Like
many other neurological disorders, epilepsy can be assessed by the electroencephalogram …

Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

A bewildering variety of methods for analysing sleep EEG signals can be found in the
literature. This article provides an overview of these methods and offers guidelines for …

Epilepsy, a neurological disorder, is characterized by the recurrence of seizures.
Electroencephalogram (EEG) signals, which are used to detect the presence of seizures, are …

Electrical recordings from the surface of the skull have a wide range of rhythmic
components. A major task of analysis of this EEG is to determine their source and functional …

In this paper, we propose an automatic sleep-scoring method combining multiscale entropy
(MSE) and autoregressive (AR) models for single-channel EEG and to assess the …